To help you improve performance and decrease operating costs for your Amazon Redshift cluster, Amazon Redshift Advisor offers specific recommendations about changes to make. In this chalk talk, we explain how the Advisor feature collects and process workload information and more importantly, what customers can do to resolve each existing alert generated by the system.

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Redshift Advisor Quick Start:
Recommendations on Tuning Your Data Warehouse
Zach Christopherson
Senior Database Engineer – Amazon Redshift
Amazon Web Services
A N T 2 1 6
Eric Ferreira
Principal Database Engineer – Amazon Redshift
Amazon Web Services

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Agenda
Amazon Redshift Advisor
Overview
Example cases
Future
Your challenges – Q&A

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Overview
• Amazon Redshift expert system available in AWS
Console
• Identifies undesirable end-user behaviors for resolution
by providing high-impact recommendations to improve
performance and reduce cost
• >96% of clusters have tailored feedback
• Actionable workload management, data ingestion,
storage, table design, and system maintenance feedback
• Recommendations have doubled since launch (July ’18);
will double again by EOY

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Advisor feedback loop
Identify workload patterns
for optimization
Measure opportunities
across all customers
Expose feedback in console
and documentation
Resolve issue through
engine improvements

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Example cases
• Basic configuration
• EC2-Classic to EC2-VPC
• DC1 to DC2
• Workload management
• Short query acceleration
• Workload isolation
• Table design & maintenance
• Update statistics
• Data skew identification
• Initialize interleaved sorts
• Optimize single-column sorts
• COPY performance
• Analysis overhead
• Source compression
• Source parallelism
• Cost optimization
• Idle cluster
• Excessive uncompressed storage

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Example cases
• Basic configuration
• EC2-Classic to EC2-VPC
• DC1 to DC2
• Workload management
• Short query acceleration
• Workload isolation
• Table design & maintenance
• Update statistics
• Data skew identification
• Initialize interleaved sorts
• Optimize single-column sorts
• COPY performance
• Analysis overhead
• Source compression
• Source parallelism
• Cost optimization
• Idle cluster
• Excessive uncompressed storage

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Future recommendation topics
Informational notifications
Cluster scaling
Table design & maintenance
Workload awareness
Spectrum table optimizations

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12. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Zach Christopherson
chriz@amazon.com
Eric Ferreira
ericfe@amazon.com

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